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  • × theme_ss:"Retrievalstudien"
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  1. MacCall, S.L.; Cleveland, A.D.; Gibson, I.E.: Outline and preliminary evaluation of the classical digital library model (1999) 0.03
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    Abstract
    The growing number of networked information resources and services offers unprecedented opportunities for delivering high quality information to the computer desktop of a wide range of individuals. However, currently there is a reliance on a database retrieval model, in which endusers use keywords to search large collections of automatically indexed resources in order to find needed information. As an alternative to the database retrieval model, this paper outlines the classical digital library model, which is derived from traditional practices of library and information science professionals. These practices include the selection and organization of information resources for local populations of users and the integration of advanced information retrieval tools, such as databases and the Internet into these collections. To evaluate this model, library and information professionals and endusers involved with primary care medicine were asked to respond to a series of questions comparing their experiences with a digital library developed for the primary care population to their experiences with general Internet use. Preliminary results are reported
    Date
    29. 9.2001 20:12:49
    Theme
    Internet
  2. Harter, S.P.; Hert, C.A.: Evaluation of information retrieval systems : approaches, issues, and methods (1997) 0.03
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    Abstract
    State of the art review of information retrieval systems, defined as systems retrieving documents a sopposed to numerical data. Explains the classic Cranfield studies that have served as a standard for retrieval testing since the 1960s and discusses the Cranfield model and its relevance based measures of retrieval effectiveness. Details sosme of the problems with the Cranfield instruments and issues of validity and reliability, generalizability, usefulness and basic concepts. Discusses the evaluation of the Internet search engines in light of the Cranfield model, noting the very real differences between batch systems (Cranfield) and interactive systems (Internet). Because the Internet collection is not fixed, it is impossible to determine recall as a measure of retrieval effectiveness. considers future directions in evaluating information retrieval systems
  3. Mandl, T.: Web- und Multimedia-Dokumente : Neuere Entwicklungen bei der Evaluierung von Information Retrieval Systemen (2003) 0.03
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    Abstract
    Die Menge an Daten im Internet steigt weiter rapide an. Damit wächst auch der Bedarf an qualitativ hochwertigen Information Retrieval Diensten zur Orientierung und problemorientierten Suche. Die Entscheidung für die Benutzung oder Beschaffung von Information Retrieval Software erfordert aussagekräftige Evaluierungsergebnisse. Dieser Beitrag stellt neuere Entwicklungen bei der Evaluierung von Information Retrieval Systemen vor und zeigt den Trend zu Spezialisierung und Diversifizierung von Evaluierungsstudien, die den Realitätsgrad derErgebnisse erhöhen. DerSchwerpunkt liegt auf dem Retrieval von Fachtexten, Internet-Seiten und Multimedia-Objekten.
  4. MacCall, S.L.; Cleveland, A.D.: ¬A relevance-based quantitative measure for Internet information retrieval evaluation (1999) 0.03
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    Abstract
    An important indicator of a maturating Internet is the development of metrics for its evaluation as a practical tool for enduser information retrieval. However, the Internet presents specific problems for traditional IR measures, such as the need to deal with the variety of classes of retrieval tools. This paper presents a metric for comparing the performance of common classes of Internet information retrieval tool, including human indexed catalogs of web resources and automatically indexed databases of web pages. The metric uses a relevance-based quantitative measure to compare the performance of endusers using these Internet information retrieval tools. The benefit of the proposed metric is that it is relevance-based (using enduser relevance judgments), and it facilitates the comparison of the performance of different classes of IIR tools
  5. Buckley, C.; Voorhees, E.M.: Retrieval system evaluation (2005) 0.03
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    Date
    29. 3.1996 18:16:49
    Source
    TREC: experiment and evaluation in information retrieval. Ed.: E.M. Voorhees, u. D.K. Harman
  6. Blair, D.C.; Maron, M.E.: ¬An evaluation of retrieval effectiveness for a full-text document-retrieval system (1985) 0.03
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    Footnote
    Vgl. auch : Salton, G.: Another look ... Comm. ACM 29(1986) S.S.648-656; Blair, D.C.: Full text retrieval ... Int. Class. 13(1986) S.18-23: Blair, D.C., M.E. Maron: Full-text information retrieval ... Inf. proc. man. 26(1990) S.437-447.
  7. Kwok, K.-L.: Ten years of ad hoc retrieval at TREC using PIRCS (2005) 0.02
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    Date
    29. 3.1996 18:16:49
    Source
    TREC: experiment and evaluation in information retrieval. Ed.: E.M. Voorhees, u. D.K. Harman
  8. Rijsbergen, C.J. van: ¬A test for the separation of relevant and non-relevant documents in experimental retrieval collections (1973) 0.02
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    Date
    19. 3.1996 11:22:12
    Source
    Journal of documentation. 29(1973) no.3, S.251-257
  9. Davis, C.H.: From document retrieval to Web browsing : some universal concerns (1997) 0.02
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    Abstract
    Computer based systems can produce enourmous retrieval sets even when good search logic is used. Sometimes this is desirable, more often it is not. Appropriate filters can limit search results, but they represent only a partial solution. Simple ranking techniques are needed that are both effective and easily understood by the humans doing the searching. Optimal search output, whether from a traditional database or the Internet, will result when intuitive interfaces are designed that inspire confidence while making the necessary mathematics transparent. Weighted term searching using powers of 2, a technique proposed early in the history of information retrieval, can be simplifies and used in combination with modern graphics and textual input to achieve these results
    Theme
    Internet
  10. Harman, D.K.: ¬The TREC test collections (2005) 0.02
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    Date
    29. 3.1996 18:16:49
    Source
    TREC: experiment and evaluation in information retrieval. Ed.: E.M. Voorhees, u. D.K. Harman
  11. Harman, D.K.: ¬The TREC ad hoc experiments (2005) 0.02
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    Date
    29. 3.1996 18:16:49
    Source
    TREC: experiment and evaluation in information retrieval. Ed.: E.M. Voorhees, u. D.K. Harman
  12. Robertson, S.; Callan, J.: Routing and filtering (2005) 0.02
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    Date
    29. 3.1996 18:16:49
    Source
    TREC: experiment and evaluation in information retrieval. Ed.: E.M. Voorhees, u. D.K. Harman
  13. Beaulieu, M.: Approaches to user-based studies in information seeking and retrieval : a Sheffield perspective (2003) 0.02
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    Source
    Journal of information science. 29(2003) no.4, S.239-248
  14. Harman, D.K.: Beyond English (2005) 0.02
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    Date
    29. 3.1996 18:16:49
    Source
    TREC: experiment and evaluation in information retrieval. Ed.: E.M. Voorhees, u. D.K. Harman
  15. Voorhees, E.M.; Garofolo, J.S.: Retrieving noisy text (2005) 0.02
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    Date
    29. 3.1996 18:16:49
    Source
    TREC: experiment and evaluation in information retrieval. Ed.: E.M. Voorhees, u. D.K. Harman
  16. Tomaiuolo, N.G.; Parker, J.: Maximizing relevant retrieval : keyword and natural language searching (1998) 0.02
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    Source
    Online. 22(1998) no.6, S.57-58
  17. Voorhees, E.M.; Harman, D.: Overview of the Sixth Text REtrieval Conference (TREC-6) (2000) 0.02
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    Date
    11. 8.2001 16:22:19
  18. Dalrymple, P.W.: Retrieval by reformulation in two library catalogs : toward a cognitive model of searching behavior (1990) 0.02
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    Date
    22. 7.2006 18:43:54
  19. Harman, D.K.: ¬The first text retrieval conference : TREC-1, 1992 (1993) 0.02
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    Abstract
    Reports on the 1st Text Retrieval Conference (TREC-1) held in Rockville, MD, 4-6 Nov. 1992. The TREC experiment is being run by the National Institute of Standards and Technology to allow information retrieval researchers to scale up from small collection of data to larger sized experiments. Gropus of researchers have been provided with text documents compressed on CD-ROM. They used experimental retrieval system to search the text and evaluate the results
    Source
    Information processing and management. 29(1993) no.4, S.411-414
  20. Sanderson, M.: ¬The Reuters test collection (1996) 0.02
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    Abstract
    Describes the Reuters test collection, which at 22.173 references is significantly larger than most traditional test collections. In addition, Reuters has none of the recall calculation problems normally associated with some of the larger test collections available. Explains the method derived by D.D. Lewis to perform retrieval experiments on the Reuters collection and illustrates the use of the Reuters collection using some simple retrieval experiments that compare the performance of stemming algorithms
    Source
    Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon

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